Jiyan R Pan

US Patent:

20130051613, Feb 28, 2013

Filed:

Aug 29, 2011

Appl. No.:

13/220213

Inventors:

Russell P. Bobbitt - Pleasantville NY, US
Quanfu Fan - Somerville MA, US
Jiyan Pan - Pittsburgh PA, US
Sharathchandra U. Pankanti - Darien CT, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06K 9/00

US Classification:

382103

Abstract:

A foreground object blob having a bounding box detected in frame image data is classified by a finite state machine as a background, moving foreground, or temporally static object, namely as the temporally static object when the detected bounding box is distinguished from a background model of a scene image of the video data input and remains static in the scene image for a threshold period. The bounding box is tracked through matching masks in subsequent frame data of the video data input, and the object sub-classified within a visible sub-state, an occluded sub-state, or another sub-state that is not visible and not occluded as a function of a static value ratio. The ratio is a number of pixels determined to be static by tracking in a foreground region of the background model corresponding to the tracked object bounding box over a total number of pixels of the foreground region.

US Patent:

20130044942, Feb 21, 2013

Filed:

Aug 19, 2011

Appl. No.:

13/213262

Inventors:

Quanfu Fan - Somerville MA, US
Prasad Gabbur - Sleepy Hollow NY, US
Sachiko Miyazawa - Bronx NY, US
Jiyan Pan - Pittsburgh PA, US
Sharathchandra U. Pankanti - Darien CT, US
Hoang Trinh - Mt. Vernon NY, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06K 9/62

US Classification:

382159

Abstract:

Events are classified through string pattern recognition. Text labels are assigned to image primitives in a time-ordered set of training images and to related time-ordered transactions in an associated training transaction log in a combined time-ordered training string of text labels as a function of image types. Transactions are labeled in a training transaction log with a transaction label, a training primitive image of a start of a transaction with a start image text label, a training primitive of an entry of a transaction into the log with an entry image text label, and a training primitive of a conclusion of a transaction with an ending image text label. Positive subset string patterns are discovered representing true events from the combined time-ordered training string of text labels, and negative subset string patterns defined by removing single transaction primitive labels from the positive subset string patterns.